Publication Abstracts

How et al. 2023

How, P.R., P.J. Wright, K.D. Mankoff, B. Vandecrux, R.S. Fausto, and A.P. Ahlstrøm, 2023: pypromice: A Python package for processing automated weather station data. J. Open Source Softw., 8, no. 86, 5298, doi:10.21105/joss.05298.

The pypromice Python package is for processing and handling observation datasets from automated weather stations (AWS). It is primarily aimed at users of AWS data from the Geological Survey of Denmark and Greenland (GEUS), which collects and distributes in situ weather station observations to the cryospheric science research community. Functionality in pypromice is primarily handled using two key open-source Python packages, xarray and pandasp

A defined processing workflow is included in pypromice for transforming original AWS observations (Level 0, L0) to a usable, CF-convention-compliant dataset (Level 3, L3). Intermediary processing levels (L1,L2) refer to key stages in the workflow, namely the conversion of variables to physical measurements and variable filtering (L1), cross-variable corrections and user-defined data flagging and fixing (L2), and derived variables (L3). Information regarding the station configuration is needed to perform the processing, such as instrument calibration coefficients and station type (one-boom tripod or two-boom mast station design, for example), which are held in a toml configuration file.

Export citation: [ BibTeX ] [ RIS ]

BibTeX Citation

  author={How, P. R. and Wright, P. J. and Mankoff, K. D. and Vandecrux, B. and Fausto, R. S. and Ahlstrøm, A. P.},
  title={pypromice: A Python package for processing automated weather station data},
  journal={J. Open Source Softw.},

[ Close ]

RIS Citation

ID  - ho06900s
AU  - How, P. R.
AU  - Wright, P. J.
AU  - Mankoff, K. D.
AU  - Vandecrux, B.
AU  - Fausto, R. S.
AU  - Ahlstrøm, A. P.
PY  - 2023
TI  - pypromice: A Python package for processing automated weather station data
JA  - J. Open Source Softw.
VL  - 8
IS  - 86
SP  - 5298
DO  - 10.21105/joss.05298
ER  -

[ Close ]

• Return to 2023 Publications

• Return to Publications Homepage